基于EMD分解重构的互相关时延估计方法

在反狙击手声探测定位系统应用背景下,针对常用相关法时延估计精度不高、相对误差较大等问题,将IMF重构消噪的思想应用于声探测定位系统TDOA(time delay of arrival)的估计中.针对重构过程中IMF分量的选取问题,设计了一种基于皮尔逊(Pearson)相关系数的选取方法,选取IMF分量进行重构消噪并结合互相关的时延估计方法,构成了基于EMD分解重构的互相关时延估计方法.通过对实际采集的声信号进行仿真实验,验证了该方法的有效性.

Cross-Correlation Delay Estimation Method Based on EMD Decomposition and Reconstruction Algorithm

Under the background of the application for anti-sniper acoustic detection positioning system,to solve the problems of low accuracy of delay estimation and large relative errors which appears when using the common correlation method,IMF reconstruction and noise elimination are applied in the estimation of acoustic detection positioning system of TDOA(time delay of arrival).For the selection of IMF components in reconstruction,a selection method based on Pearson correlation coefficient is designed.A cross-correlation delay estimation method based on EMD decomposition and reconstruction algorithm is put forward by selecting IMF components for reconstructing and denoising,and combining with the cross-correlation time delay estimation method.The validity of this method is proved by simulation experiment on the actual collected acoustic signal.